Crowdsourcing Parking Data for Micromobility Vehicles

MacKenzie, Don; Ban, Xuegang (Jeff); Pathak, Chintan; Arabkhedri, Borna; Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)

doi:10.5281/zenodo.4008906

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Crowdsourcing Parking Data for Micromobility Vehicles

2020-07-01
Datasets Available
By MacKenzie, Don ; Ban, Xuegang (Jeff) ; Pathak, Chintan ; ...

[PDF-999.54 KB]

English

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Creators:

MacKenzie, Don ; Ban, Xuegang (Jeff) ; Pathak, Chintan ; Arabkhedri, Borna

MacKenzie, Don ; Ban, Xuegang (Jeff) ; Pathak, Chintan ; Arabkhedri, Borna Less -
Corporate Creators:

Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Bicycles Crowdsourcing Data Collection Micromobility Mobile Applications Parking Violations Regulation Scooters Shared Mobility Smartphones Vehicle Sharing
DOI:

https://doi.org/10.5281/zenodo.4008906
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
Abstract:

A surge in shared micromobility services has been accompanied by an increase in vehicle parking violations and associated public complaints. The parking infractions vary from annoying when parked on private property, to unseemly when parked inside a city park to downright unsafe when interfering with utilities or blocking an Americans with Disabilities Act (ADA) ramp. Most micromobility vehicles are unable to automatically detect a parking infraction. Road users do not have a unified method of reporting the parking violations for micromobility vehicles. Further, the public and private agencies regulating the micromobility services in their region are ill-equipped to handle the incoming reports. This report summarizes the development of a mobile web app that streamlines the reporting of parking violations of dockless scooters and bikes, relaying data to the company or companies responsible and/or local governments while generating a data set that can support a variety of research questions. Mobile user-interface design and motivation is discussed. The report submission process through the reporting app is explained. Further, some field data collection results and exploration are presented.
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:39d42bc20d82100cf0c6f0daf531ae589f84f64c059a11d69eb83a88b2cf1052
Download URL:

https://rosap.ntl.bts.gov/view/dot/56383/dot_56383_DS1.pdf
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Crowdsourcing Parking Data for Micromobility Vehicles

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